[HTML][HTML] Role of optimization techniques in microgrid energy management systems—A review
Expeditious urbanization, population growth, and technological advancements in the past
decade have significantly impacted the rise of energy demand across the world. Mitigation of …
decade have significantly impacted the rise of energy demand across the world. Mitigation of …
DC microgrid planning, operation, and control: A comprehensive review
FS Al-Ismail - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, due to the wide utilization of direct current (DC) power sources, such as
solar photovoltaic (PV), fuel cells, different DC loads, high-level integration of different …
solar photovoltaic (PV), fuel cells, different DC loads, high-level integration of different …
Review of a comprehensive analysis of planning, functionality, control, and protection for direct current microgrids
Microgrids have emerged as a feasible solution for consumers, comprising Distributed
Energy Resources (DERs) and local loads within a smaller geographical area. They are …
Energy Resources (DERs) and local loads within a smaller geographical area. They are …
[HTML][HTML] Cost-effective energy management of an islanded microgrid
The interest in the integration of distributed energy resources in microgrids increased
significantly in the last decade. The stochastic nature of some energy sources and the …
significantly in the last decade. The stochastic nature of some energy sources and the …
Cost-aware renewable energy management: Centralized vs. distributed generation
We propose optimization strategies for cooperating households equipped with renewable
energy assets and storage devices. We consider two system configurations: In the first …
energy assets and storage devices. We consider two system configurations: In the first …
Integrating learning and explicit model predictive control for unit commitment in microgrids
In this paper, we apply flexibility-based operational planning method to microgrid (MG) unit
commitment (UC). The problem is formulated based on model predictive control (MPC) …
commitment (UC). The problem is formulated based on model predictive control (MPC) …
Contextual learning-based wireless power transfer beam scheduling for IoT devices
In this paper, we consider Internet of Things (IoT) systems in which IoT devices request
power to a power beacon (PB) when their available power is deficient and the PB provides …
power to a power beacon (PB) when their available power is deficient and the PB provides …
Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning
JH Lee, JY Park, HS Sim, HS Lee - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
In this paper, we study multi-residential energy scheduling to minimize total energy costs
while satisfying energy demands, where each residence has an energy management …
while satisfying energy demands, where each residence has an energy management …
Unit commitment with price demand response based on game theory approach
Unit Commitment program is an important study in the operation of power systems which
objects to achieve the minimum system operating cost by considering network and unit …
objects to achieve the minimum system operating cost by considering network and unit …
DC Microgrid Protection
Recently, renewable sources of energy have caught the attention of many due to the high
demand for energy, and the depletion of non-renewable sources. DC Microgrids have gotten …
demand for energy, and the depletion of non-renewable sources. DC Microgrids have gotten …